Machine Learning Based Heart Disease Prediction

Abstract

The heart is the most valuable muscular organ in living organisms. In our country, Now people are more sensible about their heart. A healthy heart is an interior to aggregate good health. The heart needs to care for living life wonderful. In the present situation, Due to the unhealthy environment and unhealthy lifestyle habits, people are faced with many heart disease problems. The enumeration of heart consequential disease needed more exactness, fullness, and right information. There are numerous cases where people are dying day by day because of heart problems. For reducing the heart-disease problem and knowing present heart status, we are proposed a solution to predict the heart condition in this paper. Our proposed solution would support people to keep their heart good and also plays the significant role in the medical field. We are using Machine Learning which is the branch of Artificial Intelligence. . In our work, we were collected important heart-related data and we computed the accuracy of MLA, and find out the result of the predicted heart disease problem. Here we applied various classification techniques and compared the accuracy. In Deep learning algorithms, Artificial Neural Network (ANN) archives overall 74.09% accuracy. In Machine learning algorithms, The SV machine archives 73.00% accuracy.